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26 changes: 15 additions & 11 deletions README.md
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# Insights samples

This repository contains samples for the Insights produts from Google Maps Platform.
This repository contains samples for the Insights products from Google Maps Platform.

You can learn more about the products on the [product page](https://mapsplatform.google.com/maps-products/geospatial-analytics)
You can learn more about the products on the[product page](https://mapsplatform.google.com/maps-products/geospatial-analytics).

### Street View Insights

[Docs](https://developers.google.com/maps/documentation/imagery-insights)

### Places Insights

[Demo](https://mapsplatform.google.com/demos/places-insights/)
[Docs](https://developers.google.com/maps/documentation/placesinsights)
[Docs](https://developers.google.com/maps/documentation/placesinsights) | [Demo](https://mapsplatform.google.com/demos/places-insights/)

### Roads Management Insights

[Demo](https://google-rmi-demo-1024202510105.us-central1.run.app/)
[Doc](https://developers.google.com/maps/documentation/roads-management-insights)


[Docs](https://developers.google.com/maps/documentation/roads-management-insights) | [Demo](https://google-rmi-demo-1024202510105.us-central1.run.app/)

## Available Recipe Collections

* [`imagery_insights/`](imagery_insights/): Recipes for insights from imagery data.
* [`places_insights/`](places_insights/): Samples for analyzing the Places Insights BigQuery dataset.
* [`notebooks/`](places_insights/notebooks/): Example Google Colab notebooks for querying the dataset and visualizing the results.
* [`custom_location_scores/`](places_insights/notebooks/custom_location_scores/): Combines Places Insights data with BigQuery `AI.GENERATE` (Gemini) to calculate and visualize AI-powered suitability scores for real estate listings based on a specific user persona.
* [`nevada_site_selection/`](places_insights/notebooks/nevada_site_selection/): Demonstrates a multi-stage site selection workflow for a new coffee shop in Las Vegas, combining competitor analysis, commercial suitability scoring, and target market density on an interactive map.
* [`sample_data_demo/`](places_insights/notebooks/sample_data_demo/): A technical introduction demonstrating how to query, aggregate, and visualize Places Insights data in BigQuery using Standard SQL, Python, and the H3 grid system to analyze commercial density across global cities.
* [`spot_check_results/`](places_insights/notebooks/spot_check_results/): Illustrates a workflow for spot-checking analytical data by combining H3 density aggregations with the Place Details API to visualize both statistical hotspots and individual locations on an interactive map.
* [`places-insights-demo/`](places_insights/places-insights-demo/): Source code for an interactive JavaScript web application demo.
* [`sample_queries/`](places_insights/sample_queries/): Sample SQL queries for aggregating location data directly in BigQuery.
* [`roads_management_insights/`](roads_management_insights/): Recipes for insights related to roads management.
* [`route_registration_from_csv/`](roads_management_insights/route_registration_from_csv/): A Python script to create routes in Google Roads API from a CSV file.
* [`street_view_insights/`](street_view_insights/): Recipes for insights from imagery data.

## License

This project is licensed under the Apache License 2.0 - see the [`LICENSE`](LICENSE) file for details.

## Code of Conduct

This project has adopted the [Google Open Source Community Guidelines](CODE_OF_CONDUCT.md).
This project has adopted the[Google Open Source Community Guidelines](CODE_OF_CONDUCT.md).

## Security

See [`SECURITY.md`](SECURITY.md) for details on how to report security vulnerabilities.

## Contributing

See [`CONTRIBUTING.md`](CONTRIBUTING.md) for details on how to contribute to this project.
See[`CONTRIBUTING.md`](CONTRIBUTING.md) for details on how to contribute to this project.